Separate Ratio Estimators for the Population Variance in Stratified Random Sampling

We propose separate ratio estimators for population variance in stratified random sampling. We obtain mean square error equations and compare proposed estimators about efficiency with each other. By these comparisons, we find the conditions which make proposed estimators more efficient than others. It has been shown that proposed classes of estimators are more efficient than usual unbiased estimator. We find that separate ratio estimators are more efficient than combined ratio estimators for population variance. The theoretical results are supported by a numerical illustration with original data. A simulation study is also carried out to investigate empirical performance of estimators.     

Endocrine markers during a job intervention

An intervention consisting of a thorough examination of the psychological worksite problems and a follow-up with feedback and recommendations was made in four different office worksites. One of the sites («active» group) was more organizational change-oriented than the others («passive» group). The course was followed before, three times during the 3 months of the intervention, and 4 months after the end of it, by means of three endocrine plasma markers: cortisol, prolactin and testosterone. In both study groups the prolactin levels increased in women during the starting phase of the intervention, whereas in men prolactin levels remained stable with a tendency (p=0.06) towards lowered prolactin levels during the end phase of the intervention in the active group. Cortisol levels increased markedly in the passive group and tended to decrease in the active group during the intervention (two-way interaction p=0.003), particularly in men. These findings may be indicative of feelings of uneasiness. Testosterone increased in the active group only, particularly at the beginning of the intervention and particularly in women, and also increased in a non-intervention control group. Testosterone levels are associated with anabolic activity. An increase may be indicative of a «placebo effect» of the intervention. Testosterone changes were still clearly observable after 4 months.     

Marriage migration: just another case of positive assortative matching?

It is a stylized fact that marriage formation involves positive assortative matching on education. We also find this in the case of immigrants, even when they tend to “import” their spouses and potentially trade off education for other favorable characteristics. For Pakistanis, we find positive compensating differentials in terms of high education to youth having adopted host country norms, when marrying a marriage migrant. This indicates that Pakistani marriage migrants pay a premium to be able to marry and live in Denmark. For Turks, individuals having source country norms pay a premium in order to import a partner, indicating that unspoiled traditional norms are traded off for education.

Goodness-of-Fit Tests for Multivariate Distributions

We propose three new statistics, Z _p , C _p , and R _p for testing a p-variate (p ≥ 2) normal distribution and compare them with the prominent test statistics. We show that C _p is overall most powerful and is effective against skew, long-tailed as well as short-tailed symmetric alternatives. We show that Z _p and R _p are most powerful against skew and long-tailed alternatives, respectively. The Z _p and R _p statistics can also be used for testing an assumed p-variate nonnormal distribution.     

Heterogeneous data modeling with two-component Weibull–Poisson distribution

The mixture distribution models are more useful than pure distributions in modeling of heterogeneous data sets. The aim of this paper is to propose mixture of Weibull–Poisson (WP) distributions to model heterogeneous data sets for the first time. So, a powerful alternative mixture distribution is created for modeling of the heterogeneous data sets. In the study, many features of the proposed mixture of WP distributions are examined. Also, the expectation maximization (EM) algorithm is used to determine the maximum-likelihood estimates of the parameters, and the simulation study is conducted for evaluating the performance of the proposed EM scheme. Applications for two real heterogeneous data sets are given to show the flexibility and potentiality of the new mixture distribution.     

Decolonising the university in 2020

ABSTRACT

We came together as editors of Decolonising the University through a commitment to understanding the university and our place within it; to examine what else might be possible for us, collectively, in the domain of higher education. Although we do not always agree about the university– or, perhaps more specifically, about the possibilities it contains for intervening effectively in the world– we nonetheless coalesced around an idea of ‘decolonising the university’ as an important strategic mode of engagement. Here, we set out the positions that we come from in relation to the broader debates about the university and its political possibilities and offer responses also to the reviews. These are not our final words on the matter, but words shaped by the political possibilities that present themselves at the outset of 2020 and which, we hope, will contribute to the increasingly necessary dialogues on this topic.     

Romanian social workers facing the challenges of neo-liberalism

ABSTRACT

With a history of almost 90 years, professional social work in Romania once flourished up until World War II. The Communist Party disbanded the profession in 1968 and it was reinstated after the fall of the Iron Curtain in 1989. Within the context of the socio-economic transition from a centralised to a free-market economy, Romanian social policy and social work have evolved from a Marxist/socialist-type ideology, one that advocates for state intervention, to a libertarian/neo-liberal-type ideology, which promotes both state withdrawal from welfare provision and individuals taking responsibility for their own welfare. These two trends continue to co-exist subject to sometimes divergent forces such as international institutions and internal Romanian social pressures. Using a qualitative approach, we explore how Romanian social workers are adapting to the neo-liberal realities and identify three types of perceived challenges: 1. those related to regulation, 2. linked with collaboration in social work activity and 3. those related to the social worker-client relationship. Under neo-liberal pressures, the social worker's role of agent of social change becomes marginalised in daily practice, leaving little power to influence agency policies that negatively impact clients.     

Electricity consumption prediction with functional linear regression using spline estimators

A functional linear regression model linking observations of a functional response variable with measurements of an explanatory functional variable is considered. This model serves to analyse a real data set describing electricity consumption in Sardinia. The interest lies in predicting either oncoming weekends’ or oncoming weekdays’ consumption, provided actual weekdays’ consumption is known. A B-spline estimator of the functional parameter is used. Selected computational issues are addressed as well.     

马克思主义新闻观的历史境遇与现代观照

理解与学习马克思主义新闻观可以从4个维度进行探讨,即全球化、主体性、动力源与问题域,这四重维度分别对应了马克思主义新闻观的主导视角、本真意义、发展路径和实践平台,它们各具蕴意、相互独立,却又共同存在于马克思主义新闻观的产生与发展之中。因此,在新的历史境遇下,坚持从多维角度探寻马克思主义新闻观的最新成果,依旧可以为中国的新闻传播事业提供宝贵的发展机遇和社会空间。